Abstract
Some hospitals have implemented computerized physician order entry (CPOE) systems to reduce the medical error rates. However, research in this area has been very limited, especially regarding the impact of CPOE use on the reduction of prescribing errors. Moreover, the past studies have dealt with the overall impact of CPOE on the reduction of broadly termed "medical errors", and they have not specified which medical errors have been reduced by CPOE. Furthermore, the majority of the past research in this field has been either qualitative or has not used robust empirical techniques. This research examined the impacts of usability of CPOE systems on the reduction of doctors' prescribing errors. Methods: One hundred and sixty-six questionnaires were used for quantitative data analyses. Since the data was not normally distributed, partial least square path modelling-as the second generation of multivariate data analyses-was applied to analyze data. Results: It was found that the ease of use of the system and information quality can significantly reduce prescribing errors. Moreover, the user interface consistency and system error prevention have a significant positive impact on the perceived ease of use. More than 50% of the respondents believed that CPOE reduces the likelihood of drug allergy, drug interaction, and drug dosing errors thus improving patient safety. Conclusions: Prescribing errors in terms of drug allergy, drug interaction, and drug dosing errors are reduced if the CPOE is not error-prone and easy to use, if the user interface is consistent, and if it provides quality information to doctors.
| Original language | English |
|---|---|
| Pages (from-to) | 93-101 |
| Number of pages | 9 |
| Journal | Healthcare Informatics Research |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2013 |
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Keywords
- CPOE
- Health Informatics
- Medical
- Usability
ASJC Scopus subject areas
- Health Informatics
- Biomedical Engineering
- Health Information Management
Cite this
Role of computerized physician order entry usability in the reduction of prescribing errors. / Peikari, Hamid Reza; Zakaria, Mohamad Shanudin; Yasin, Norjaya M.; Shah, Mahmood Hussain; Elhissi, Abdelbary.
In: Healthcare Informatics Research, Vol. 19, No. 2, 2013, p. 93-101.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Role of computerized physician order entry usability in the reduction of prescribing errors
AU - Peikari, Hamid Reza
AU - Zakaria, Mohamad Shanudin
AU - Yasin, Norjaya M.
AU - Shah, Mahmood Hussain
AU - Elhissi, Abdelbary
PY - 2013
Y1 - 2013
N2 - Some hospitals have implemented computerized physician order entry (CPOE) systems to reduce the medical error rates. However, research in this area has been very limited, especially regarding the impact of CPOE use on the reduction of prescribing errors. Moreover, the past studies have dealt with the overall impact of CPOE on the reduction of broadly termed "medical errors", and they have not specified which medical errors have been reduced by CPOE. Furthermore, the majority of the past research in this field has been either qualitative or has not used robust empirical techniques. This research examined the impacts of usability of CPOE systems on the reduction of doctors' prescribing errors. Methods: One hundred and sixty-six questionnaires were used for quantitative data analyses. Since the data was not normally distributed, partial least square path modelling-as the second generation of multivariate data analyses-was applied to analyze data. Results: It was found that the ease of use of the system and information quality can significantly reduce prescribing errors. Moreover, the user interface consistency and system error prevention have a significant positive impact on the perceived ease of use. More than 50% of the respondents believed that CPOE reduces the likelihood of drug allergy, drug interaction, and drug dosing errors thus improving patient safety. Conclusions: Prescribing errors in terms of drug allergy, drug interaction, and drug dosing errors are reduced if the CPOE is not error-prone and easy to use, if the user interface is consistent, and if it provides quality information to doctors.
AB - Some hospitals have implemented computerized physician order entry (CPOE) systems to reduce the medical error rates. However, research in this area has been very limited, especially regarding the impact of CPOE use on the reduction of prescribing errors. Moreover, the past studies have dealt with the overall impact of CPOE on the reduction of broadly termed "medical errors", and they have not specified which medical errors have been reduced by CPOE. Furthermore, the majority of the past research in this field has been either qualitative or has not used robust empirical techniques. This research examined the impacts of usability of CPOE systems on the reduction of doctors' prescribing errors. Methods: One hundred and sixty-six questionnaires were used for quantitative data analyses. Since the data was not normally distributed, partial least square path modelling-as the second generation of multivariate data analyses-was applied to analyze data. Results: It was found that the ease of use of the system and information quality can significantly reduce prescribing errors. Moreover, the user interface consistency and system error prevention have a significant positive impact on the perceived ease of use. More than 50% of the respondents believed that CPOE reduces the likelihood of drug allergy, drug interaction, and drug dosing errors thus improving patient safety. Conclusions: Prescribing errors in terms of drug allergy, drug interaction, and drug dosing errors are reduced if the CPOE is not error-prone and easy to use, if the user interface is consistent, and if it provides quality information to doctors.
KW - CPOE
KW - Health Informatics
KW - Medical
KW - Usability
UR - http://www.scopus.com/inward/record.url?scp=84880067960&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880067960&partnerID=8YFLogxK
U2 - 10.4258/hir.2013.19.2.93
DO - 10.4258/hir.2013.19.2.93
M3 - Article
VL - 19
SP - 93
EP - 101
JO - Healthcare Informatics Research
JF - Healthcare Informatics Research
SN - 2093-3681
IS - 2
ER -